About Coursera

Coursera's mission is to provide universal access to world-class learning. Founded in 2012 by Andrew Ng and Daphne Koller, Coursera has grown into one of the largest online learning platforms globally, with millions of learners. We partner with top universities and industry leaders to offer a wide range of content and credentials, including courses, Specializations, Professional Certificates, and degrees.

Our innovative platform features, such as generative AI-powered tools, enable personalized and scalable learning experiences. Institutions worldwide rely on Coursera to upskill their employees, students, and citizens in high-demand fields like AI, data science, technology, and business. Learners globally turn to Coursera to master the skills they need to advance their careers. As a Delaware public benefit corporation and a B Corp, Coursera is committed to making a positive impact on society.

Why Join Coursera?

At Coursera, we are inventors, innovators, and lifelong learners who are passionate about shaping the future of education. You’ll have the opportunity to build global programs and tools that power online learning for millions of people. We value customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter.

We are a globally distributed team that supports flexible work arrangements, whether it's from home, a Coursera hub, or a co-working space. Our virtual hiring and onboarding process makes it easy to join us from anywhere and start making an impact immediately. If you are ready to make a global impact, scale unique products exclusive to Coursera, and expand your career horizons, we encourage you to apply.

Role Overview

As a Learning Data Analyst within Coursera’s Content & Credentials organization, you will empower learners, partners, and enterprise customers to achieve their goals. Our team improves the learning experience through innovative systems, scalable solutions, and close collaboration with partners and vendors to deliver high-quality content. As champions of the Coursera community, we align cross-functional teams to drive continuous improvement across the platform.

The Teaching & Learning team, within the Content & Credentials org, comprises learning design experts and researchers who provide best practices, training, and consulting for content development. We work closely with partners and content creators to design transformational learning experiences, using research, experimentation, and data insights to improve learner satisfaction, engagement, and outcomes.

As the Learning Data Analyst, you will be instrumental in enhancing partner success and fostering data-driven strategies for Coursera’s strategic accounts. In this role, you will be instrumental in creating high-impact, skill-aligned learning experiences that address learner needs and adapt to evolving market demands.

You will take a client-facing approach, collaborating with internal Coursera teams and external partners to analyze data patterns in their courses. You will directly perform data analysis and provide strategic recommendations for revisions, portfolio updates, and more, and present to clients. Your contributions will be vital in driving improvements in learning outcomes through actionable data insights.

A Day in the Life of a Learning Data Analyst

• Data Analysis: Spend a significant portion of your day analyzing data related to learner engagement, course completion rates, and overall learning outcomes. You will use tools like SQL, R, and Python to extract, clean, and analyze data from various sources within the Coursera platform.
• Client Collaboration: Work closely with Coursera's university and industry partners to understand their course objectives and challenges. This involves regular meetings and presentations to discuss data insights and propose actionable recommendations.
• Strategic Recommendations: Based on your data analysis, you will develop strategic recommendations for course improvements, content updates, and new course offerings. These recommendations will be tailored to meet the specific needs of each partner.
• Reporting and Presentation: Prepare detailed reports and presentations to communicate your findings to internal teams and external partners. This includes visualizing data using tools like Tableau or Power BI to make it easily understandable.
• Learning Design Collaboration: Collaborate with learning designers to implement your recommendations and improve the overall learning experience. This involves providing feedback on course content, assessment strategies, and instructional methods.
• Experimentation and A/B Testing: Design and implement A/B tests to evaluate the effectiveness of different learning interventions. This helps identify what works best for learners and informs future course development efforts.
• Research and Development: Stay up-to-date on the latest trends and best practices in online learning and data analysis. This includes reading research papers, attending conferences, and participating in online communities.
• Cross-Functional Collaboration: Work with various internal teams, including product management, marketing, and engineering, to ensure that your recommendations are aligned with Coursera's overall goals and strategy.
• Project Management: Manage multiple projects simultaneously, ensuring that they are completed on time and within budget. This involves tracking progress, managing resources, and communicating updates to stakeholders.
• Data Governance: Ensure that data is collected, stored, and used in compliance with Coursera's data governance policies and procedures. This includes protecting learner privacy and maintaining data security.
• Training and Mentoring: Provide training and mentoring to other team members on data analysis techniques and best practices. This helps build a strong data-driven culture within the organization.
• Continuous Improvement: Continuously seek opportunities to improve your own skills and knowledge, as well as the processes and practices of the team. This involves staying open to feedback and embracing new challenges.

Why India?

India is a strategic market for Coursera due to its large and growing population of learners. By being based in India, you will be able to work closely with local partners and gain a deeper understanding of the needs of Indian learners. This will enable you to develop more effective learning experiences and contribute to Coursera's mission of providing universal access to world-class learning.

India's rapidly expanding digital economy and increasing internet penetration make it an ideal location for online learning platforms like Coursera. The country's young and ambitious workforce is eager to upskill and reskill, creating a high demand for quality online education. By working in India, you will be at the forefront of this exciting trend and have the opportunity to make a significant impact on the lives of millions of learners.

Career Path at Coursera

Coursera is committed to providing its employees with opportunities for growth and development. As a Learning Data Analyst, you can advance your career in several directions:

• Senior Learning Data Analyst: Lead more complex data analysis projects and mentor junior analysts.
• Learning Design Manager: Oversee the development of learning experiences and manage a team of learning designers.
• Data Science Manager: Lead a team of data scientists and develop data-driven strategies for the entire organization.
• Product Manager: Guide the development of new features and products for the Coursera platform.

Coursera also offers opportunities to move into different functional areas, such as marketing, sales, or operations, based on your interests and skills.

Salary & Benefits

The salary range for a Learning Data Analyst in India typically falls between ₹800,000 and ₹1,800,000 per year, depending on experience and qualifications. In addition to a competitive salary, Coursera offers a comprehensive benefits package that includes:

• Health insurance
• Paid time off
• Retirement savings plan
• Employee stock options
• Life insurance
• Disability insurance
• Parental leave
• Commuter benefits

Coursera is committed to providing its employees with a supportive and rewarding work environment.

Education for Everyone

At Coursera, we believe that everyone deserves access to high-quality education. That's why we partner with top universities and industry leaders to offer a wide range of courses and credentials that are affordable and accessible to learners around the world. By joining Coursera, you will be part of a team that is making a positive impact on society.

We are committed to diversity and inclusion and strive to create a welcoming and inclusive environment for all employees and learners. We believe that diverse perspectives are essential for innovation and success.

How to Apply

If you are interested in applying for the Learning Data Analyst position, please submit your resume and cover letter through the Coursera careers website. Be sure to highlight your relevant experience and qualifications, and explain why you are interested in working at Coursera.

We look forward to hearing from you!

FAQ

1. What is Coursera?

   Coursera is an online learning platform that offers courses, Specializations, Professional Certificates, and degrees from top universities and industry leaders.

2. What does a Learning Data Analyst do?

   A Learning Data Analyst analyzes data related to learner engagement and course performance to identify opportunities for improvement and make strategic recommendations.

3. What qualifications are required for this position?

   A Bachelor's degree in Data Science, Education, Statistics, or a related field, along with 3+ years of experience in data analysis or learning design, is typically required.

4. Is this a remote position?

   Yes, this is a remote position based in India.

5. What is the salary range for this position?

   The salary range is typically between ₹800,000 and ₹1,800,000 per year, depending on experience and qualifications.

6. What benefits does Coursera offer?

   Coursera offers a comprehensive benefits package that includes health insurance, paid time off, a retirement savings plan, and more.

7. What opportunities are there for career growth at Coursera?

   Coursera is committed to providing its employees with opportunities for growth and development. You can advance your career in several directions, such as Senior Learning Data Analyst, Learning Design Manager, or Data Science Manager.

8. What is Coursera's mission?

   Coursera's mission is to provide universal access to world-class learning.

9. What is Coursera's culture like?

   Coursera has a collaborative and supportive work environment, where employees are encouraged to innovate and make a positive impact on society.

10. How do I apply for this position?

    Please submit your resume and cover letter through the Coursera careers website.